code: def test_time_series_splitter(scheduler_args):
      np_array = np.random.randn(300, 4)
      df = pd.DataFrame(np_array)
  
      tss = TimeSeriesSplitter(
          df=df,
          **scheduler_args,
      )
  
      assert tss.n_splits == len(list(tss.split()))
  
file_path: orbit/tests/orbit/diagnostics/test_backtest.py
imports: import pytest
  import pandas
  import numpy
  from orbit.diagnostics.backtest import TimeSeriesSplitter, BackTester
  from orbit.diagnostics.metrics import smape, wmape, mae
  from orbit.models import LGT, KTRLite
label_desc: Use image node_id 1 for calling a global function with example usage: test_time_series_splitter(scheduler_args) without return types